I am a first year PhD student in the Education department at UC Berkeley working at the intersection of artificial intelligence, computer vision, and cognitive science.
I am interested in combining tools from these domains to impact the field of education technology and learning sciences. At the same time, I am also interested in developing computational models of cognition to formalize human learning and memory.
Before coming to Berkeley, I spent 6 wonderful years in Singapore and did research with Po-Jang Hsieh and Bernard Ghanem. I also visited Ming-Hsuan Yang's group during summer 2015 to pursue my interests in computer vision and machine learning.
Email: rach0012 [at] berkeley (dot) edu
Here's a tribute written in the memory of my friend who got me started into research
What makes an object memorable? Rachit Dubey*, Joshua Peterson*, Aditya Khosla, M.H Yang, and Bernard Ghanem, in International Conference on Computer Vision (ICCV 2015)
Improving Saliency Models by Predicting Human Fixation Patches Rachit Dubey, Akshat Dave and Bernard Ghanem, in 12th Asian Conference on Computer Vision (ACCV 2014)
Other publications and presentations
A blurring based model of peripheral vision predicts visual search performances Rachit Dubey, Chun Siong Soon and Po-Jang Hsieh, in Vision Sciences Society Meeting 2014
The autonomic system (ANS) in heart and mind Geoffrey Tan, Rachit Dubey, Ang Ting, Shermaine Fun, Chan Kiat, Tan Yun, Kua Heok, Lim Wei, in Computational Psychiatry 2013
Do humans fixate on interest points? (Accepted as oral: about 20% acceptance rate) Akshat Dave*, Rachit Dubey* and Bernard Ghanem, in 21st International Conference on Pattern Recognition (ICPR 2012)
A depth camera based fall recognition system for the elderly. Rachit Dubey, Bing Bing Ni and Pierre Moulin, in Image Analysis and Recognition 2012, Springer LNCS